Triple

T13710684
Position Surface form Disambiguated ID Type / Status
Subject Växjö E328762 entity
Predicate partOf P40 FINISHED
Object Kronoberg County E243306 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kronoberg County | Statement: [Växjö, partOf, Kronoberg County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kronoberg County
Context triple: [Växjö, partOf, Kronoberg County]
  • A. Kronoberg County chosen
    Kronoberg County is an administrative region in southern Sweden, largely covering parts of the historical province of Småland and known for its forests, lakes, and glassmaking tradition.
  • B. Skaraborg County
    Skaraborg County was a former county in Sweden that existed until 1997, when it was merged into the larger Västra Götaland County.
  • C. Skåne County
    Skåne County is Sweden’s southernmost county, known for its fertile farmland, coastal landscapes, and major cities such as Malmö and Lund.
  • D. Östergötland County
    Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
  • E. Kronobergs län
    Kronobergs län is a county in southern Sweden known for its forests, lakes, and the regional capital Växjö.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d54a68081908df25edf6d5df362 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.